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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 6385
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    Explanations

    pronouns 'they' and 'we' followed by a form of the verb 'to be' indicating a state or characteristic of a group

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the existence and attributes of a group of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oire
    -0.92
    ð
    -0.84
    lished
    -0.81
    culosis
    -0.76
    cture
    -0.75
    lag
    -0.75
    osate
    -0.72
    atform
    -0.72
    owan
    -0.72
    iox
    -0.70
    POSITIVE LOGITS
     selves
    1.12
     idiots
    1.07
    wolves
    1.02
     outnumbered
    0.95
     parasites
    0.92
     interchangeable
    0.92
     outl
    0.90
     behaving
    0.89
     ambassadors
    0.89
     doing
    0.89
    Activations Density 0.273%

    No Known Activations